A paper document processing system is an information system component which transforms information on printed or handwritten documents into a computer-revisable form. In intelligent systems for paper document processing this information capture process is based on knowledge of the specific layout and logical structures of the documents. In this project we design a framework which combines techn...

Knowledge is considered to be “the information needed to make business decisions”1, and so knowledge management is the “essential ingredient of success” for 95 per cent of CEOs [Manchester 1999]. A company’s value depends increasingly on “intangible assets” which exist in the minds of employees, in databases, in files and in a myriad documents. Knowledge management technologies capture this int...

Improved management of safety during procurement of computer-based safety-critical systems is one of the key concerns of the Australian Government’s Department of Defence Software Acquisition Reform program. This paper reports some lessons learnt from a task currently being undertaken by the Defence Acquisition Organisation, Defence Science Technology Organisation (DSTO) and the Software Verifi...

To support the sharing and reusing of well-defined knowledge among knowledge management systems, it is useful to use standardised formalisation. It is also common effort to difficulty of knowledge acquisition known as knowledge acquisition bottleneck. In this paper investigates the feasibility of using techniques in case-based reasoning of artificial intelligence for the knowledge acquisition p...

This paper presents a framework that enables context aware computation to the service domain. The use of context aware computing in service oriented programs allows users and applications to communicate in a simpler way making these services more appellative. This framework supports an approach for ubiquitous computing paradigm to service oriented programs such as web-services. The principal of...

We study a continuous-review acquisition problem, in which the raw material price follows a discrete-state Markov process and demand is compound Poisson. We show that one optimal policy is of the order-up-to type. Under our mean reversion and time continuity conditions, we further show that the order-up-to levels are decreasing at the current price level. At the same time, our computational stu...

17 Decision Support Systems (DSSs) can play a powerful role in Natural Resource 18 Management (NRM), by allowing more effective and collective use of information in 19 addressing complex and often poorly structured questions. CSIRO Tropical Agriculture, in 20 Townsville Australia, is developing a DSS generator that provides a flexible environment 21 for the construction of decision support tool...